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poemsforaphrodite
commited on
Commit
•
8bf8b6f
1
Parent(s):
36a7b5d
Update app.py
Browse files
app.py
CHANGED
@@ -182,7 +182,7 @@ def analyze_competitors(row, co):
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query = row['query']
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our_url = row['page']
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competitor_urls = get_serp_results(query)
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results = []
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@@ -270,7 +270,7 @@ def analyze_competitors(row, co):
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our_url = row['page']
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our_score = row['relevancy_score']
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competitor_urls = get_serp_results(query)
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results = []
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for url in competitor_urls:
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@@ -498,12 +498,31 @@ def show_tabular_data(df, co):
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score = calculate_relevance_score(content, row['query'], co)
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return score
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# Display the dataframe
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st.dataframe(df_display)
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# Create buttons for each row
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for index, row in df_display.iterrows():
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col1, col2 = st.columns([3, 1])
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with col1:
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st.write(f"Query: {row['query']} | Page: {row['page']}")
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with col2:
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@@ -516,13 +535,11 @@ def show_tabular_data(df, co):
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st.experimental_rerun()
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else:
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st.write(f"Relevancy Score: {row['relevancy_score']:.4f}")
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for index, row in df.iterrows():
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with st.expander(f"Analyze Competitors for: {row['query']} | {row['page']}"):
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if st.button("Analyze Competitors", key=f"comp_{index}"):
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with st.spinner('Analyzing competitors...'):
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results_df = analyze_competitors(row
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st.dataframe(results_df)
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our_rank = results_df.index[results_df['url'] == row['page']].tolist()[0] + 1
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query = row['query']
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our_url = row['page']
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competitor_urls = get_serp_results(query)[:5] # Get top 5 competitors
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results = []
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our_url = row['page']
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our_score = row['relevancy_score']
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competitor_urls = get_serp_results(query)[:5] # Get top 5 competitors
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results = []
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for url in competitor_urls:
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score = calculate_relevance_score(content, row['query'], co)
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return score
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# Function to analyze competitors
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def analyze_competitors(row):
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query = row['query']
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our_url = row['page']
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our_score = row['relevancy_score']
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competitor_urls = get_serp_results(query)[:5] # Get top 5 competitors
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results = []
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for url in competitor_urls:
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content = fetch_content(url)
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score = calculate_relevance_score(content, query, co)
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results.append({'url': url, 'relevancy_score': score})
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results.append({'url': our_url, 'relevancy_score': our_score})
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results_df = pd.DataFrame(results).sort_values('relevancy_score', ascending=False)
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return results_df
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# Display the dataframe
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st.dataframe(df_display)
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# Create buttons for each row
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for index, row in df_display.iterrows():
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col1, col2, col3 = st.columns([3, 1, 1])
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with col1:
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st.write(f"Query: {row['query']} | Page: {row['page']}")
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with col2:
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st.experimental_rerun()
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else:
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st.write(f"Relevancy Score: {row['relevancy_score']:.4f}")
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with col3:
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if st.button(f"Compare Competitors", key=f"comp_{index}"):
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with st.spinner('Analyzing competitors...'):
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results_df = analyze_competitors(row)
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st.write("Competitor Comparison:")
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st.dataframe(results_df)
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our_rank = results_df.index[results_df['url'] == row['page']].tolist()[0] + 1
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